Role
Design and construct data modeling processes by creating algorithms and predictive models to extract the data the business needs. Perform advanced statistical analysis of data to obtain insights into trends and opportunities and share insights with peers.
Responsibility
Analyze and process large sets of data using statistical software
Apply excellent coding skills in Python and R
Apply knowledge in OSIsoft PI (real-time data historian application) for working with real-time Process Information (PI) data
Apply advanced knowledge in Business Intelligence tools for visualization such as Tableau, Power BI and especially SEEQ.
Develop and maintain appropriate databases (MS SQL, PL SQL, T SQL)
Familiar with cloud computing technologies (Microsoft Azure) to build, test, deploy and manage applications developed
Build complex data sets from multiple data sources, both internally and externally
Conduct advanced analytics activities leveraging predictive modeling, machine learning, simulation, optimization, and other techniques to deliver insights or develop analytical solutions to achieve business objectives.
Provide analysis using deep machine learning techniques and algorithms.
Sift and analyze data from multiple angles, looking for trends that highlight problems or opportunities.
Research and deliver proof of concepts solutions, responding to clear and specific business needs
Understand and translates business and functional needs into data scientist problem statements
Serve as a bridge between machine learning/data science and subject matter applications
Comfortable with a fast pace build, test, ship ML/AI workloads into production under a common API.
Has experience abstracting custom APIs for machine learning methods in training and inference.
Communicate appropriate algorithm research and prototype development best practices back to the machine learning group, to improve learning and future capabilities
Develop and maintain statistical reports and visual presentations for management
Perform other duties and participate in special projects as assigned
Qualifications
Masters degree in analytics or data science
Strong problem-solving skills
